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    Opportunity: Postdoctoral Fellow -- Algorithm/Software Developer for BioMedical Genomics @ Brigham and Women's Hospital / Harvard Medical School / Broad Institute of MIT and Harvard -- Boston, MA (US)
    Submitted by Nathalie Pochet; posted on Monday, April 22, 2019


    Research Scientist with expertise in Machine Learning and Computer Science in the field of Translational Genomics at Brigham and Women's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard

    The Pochet Laboratory in Translational Learning & Informatics ( within the Department of Neurology at Brigham and Women's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard is currently seeking a Research Fellow with expertise in machine learning and computer science in the field of translational genomics to join our research efforts in understanding the molecular and mechanistic basis of cancer, infectious, neurological and immune-mediated disease. This position will function under the supervision of Dr. Nathalie Pochet.


    This position offers a stimulating and multidisciplinary environment. The fellow will work as part of a team of researchers across Brigham and Women's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard. He or she will join an ongoing research program that aims at developing machine/transfer learning algorithms and software tools for the integrative analysis of multi-omics data to translate knowledge from model systems to patient studies of human disease. The project will entail developing innovative computational strategies for integrative modeling of genomics data, thus developing powerful toolboxes for applications in studies of human disease. The fellow will collaborate closely with Dr. Nathalie Pochet's broad network of collaborators at Brigham and Women's Hospital, Harvard Medical School, the Broad Institute of MIT and Harvard, and Stanford University.


    Applicants should have a strong computational background and expertise in dealing with very large genomics data sets. Excellent programming, data analysis and machine learning skills are required. Experience with RNA and DNA sequencing data is a major plus. The ideal candidate should be passionate about the translation of genomics into clinical practice, and be highly motivated to work in a fast-paced and highly collaborative environment.


    Applications and inquiries should be submitted by e-mail to Dr. Nathalie Pochet (npochet[at] Please include your CV, a cover letter describing previous research, research interests, and future goals, as well as 3 references.

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